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Record W7113679189

A Study of the Relationships Between Level of Pain, Analgesic Requirements, and Quality of Life Associated with Total Knee Arthroplasty

2006· article· en· W7113679189 on OpenAlexaboutno aff

Bibliographic record

VenueDigiNole (Florida State University) · 2006
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisWOMACQuality of life (healthcare)AnalgesicOrthopedic surgeryRehabilitationTotal knee arthroplastyArthroplastyPostoperative pain
DOInot available

Abstract

fetched live from OpenAlex

Patients suffering from various arthritic conditions such as osteoarthritis (OA) seek relief through total knee arthroplasty (TKA). The surgery itself has been proven successful; however it carries a difficult and challenging recovery period. The purpose of this study was to examine the relationships between pain levels and quality of life (QOL), and to determine the effect pain has on QOL measures pre- and post TKA. A sample of thirteen participants receiving care at a local orthopedic clinic was selected from the North Florida area via convenience sampling. Participants were asked to complete a demographic questionnaire, the Western Ontario and McMaster Universities (WOMAC) Arthritis Index, and a medication journal preoperatively, and again at six-weeks postoperatively. The WOMAC has been thoroughly tested for reliability and validity across multiple research studies. Inclusion criteria were limited to those having TKA secondary only to OA, and those subsequently entering a rehabilitation program after hospital discharge. The patients had to be able to read and understand English, and be able to communicate their pain levels through a mediation journal and the WOMAC. The hypotheses concerned the presence of a relationship between pain and QOL measures pre- and postoperatively. Paired samples t-test and Pearson's Correlational analyses were used to examine potential relationships. As a result of the collected data, there were significant relationships between preoperative pain levels and WOMAC scores (r = .814, p = .001), preoperative and postoperative pain levels (t = 4.177, p = .001), postoperative pain levels and WOMAC scores (r = .903, p = .000), and preoperative and postoperative WOMAC scores (t = 5.378, p = .000). Medication journaling did not provide sufficient data to infer to the general orthopedic population. Overall, decreases in postoperative pain levels correlated with decreases in total WOMAC scores, signifying improvements in pain and QOL. Based on these results, it is the responsibility of the advanced practice nurse to accurately assess pain and its impact on QOL in this population of OA sufferers. The integration of the WOMAC in pain assessment may help assist in tailoring effective pain management regimens during the course of TKA.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.253
Teacher spread0.166 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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